def parse_data_config(path):
	"""Parses the data configuration file"""
	options = dict()
	options['gpus'] = '0,1,2,3'
	options['num_workers'] = '10'
	with open(path, 'r') as fp:
		lines = fp.readlines()
	for line in lines:
		line = line.strip()
		if line == '' or line.startswith('#'):
			continue
		key, value = line.split('=')
		options[key.strip()] = value.strip()
	return options

def parse_model_config(path):
	"""Parses the yolo-v3 layer configuration file and returns module definitions"""
	file = open(path, 'r')
	lines = file.read().split('\n')
	lines = [x for x in lines if x and not x.startswith('#')]
	lines = [x.rstrip().lstrip() for x in lines] # get rid of fringe whitespaces
	module_defs = []
	for line in lines:
		if line.startswith('['): # This marks the start of a new block
			module_defs.append({})
			module_defs[-1]['type'] = line[1:-1].rstrip()
			if module_defs[-1]['type'] == 'convolutional':
				module_defs[-1]['batch_normalize'] = 0
		else:
			key, value = line.split("=")
			value = value.strip()
			module_defs[-1][key.rstrip()] = value.strip()

	return module_defs